Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
Cell. 2011 May 27;145(5):787-99. doi: 10.1016/j.cell.2011.05.006.
Elucidation of endogenous cellular protein-protein interactions and their networks is most desirable for biological studies. Here we report our study of endogenous human coregulator protein complex networks obtained from integrative mass spectrometry-based analysis of 3290 affinity purifications. By preserving weak protein interactions during complex isolation and utilizing high levels of reciprocity in the large dataset, we identified many unreported protein associations, such as a transcriptional network formed by ZMYND8, ZNF687, and ZNF592. Furthermore, our work revealed a tiered interplay within networks that share common proteins, providing a conceptual organization of a cellular proteome composed of minimal endogenous modules (MEMOs), complex isoforms (uniCOREs), and regulatory complex-complex interaction networks (CCIs). This resource will effectively fill a void in linking correlative genomic studies with an understanding of transcriptional regulatory protein functions within the proteome for formulation and testing of future hypotheses.
阐明内源性细胞蛋白质-蛋白质相互作用及其网络对于生物学研究是非常理想的。在这里,我们报告了我们对整合基于质谱的 3290 次亲和纯化分析获得的内源性人共调节剂蛋白复合物网络的研究。通过在复合物分离过程中保留弱相互作用,并在大型数据集上利用高程度的相互性,我们鉴定了许多未报道的蛋白质关联,例如由 ZMYND8、ZNF687 和 ZNF592 形成的转录网络。此外,我们的工作揭示了共享共同蛋白质的网络内的层次相互作用,为细胞蛋白质组提供了一个概念组织,由最小内源性模块(MEMOs)、复杂同工型(uniCOREs)和调节复合物-复合物相互作用网络(CCIs)组成。这个资源将有效地填补将相关基因组研究与对蛋白质组中转录调节蛋白功能的理解联系起来的空白,以形成和测试未来的假说。